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/google-cloud-solution-agentic-ai-borderless-data-lakehouse

@becc4b8
by googlegoogle/skills21k stars
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Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).

Use this Skill: https://skilld.dev/gh/google/skills/google-cloud-solution-agentic-ai-borderless-data-lakehouse

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referencesproduct_renaming.md

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Product Renaming & Terminology

When generating solution designs, architecture diagrams, and documentation, use the updated Google Cloud product names. Note that underlying APIs, Terraform resources, and IAM roles often retain their legacy identifiers.

<table> <thead> <tr> <th>Legacy Name</th> <th>Updated Name</th> <th>Notes / API Identifiers</th> </tr> </thead> <tbody> <tr> <td>Vertex AI</td> <td>Gemini Enterprise Agent Platform</td> <td>Used for AI serving and agentic workflows.</td> </tr> <tr> <td>BigLake</td> <td>Lakehouse for Apache Iceberg</td> <td> Used for central metadata and governance. Terraform resources (e.g., <code>google_biglake_table</code>, <code>google_biglake_repository</code>) and APIs still use <code>biglake</code>. </td> </tr> <tr> <td>Dataproc Serverless</td> <td>Managed Service for Apache Spark</td> <td> Used for distributed processing. APIs and IAM roles still use <code>dataproc</code>. </td> </tr> <tr> <td>Dataplex</td> <td>Knowledge Catalog</td> <td>Used for active context and governance.</td> </tr> <tr> <td>cross-cloud, multicloud, multi-cloud</td> <td>borderless</td> <td> Rephrase all occurrences to <code>borderless</code>, with the exception of the product <code>Cross-Cloud Interconnect</code>. </td> </tr> </tbody> </table>

Source: SKILL.md on GitHub

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    This skill provides a structured framework for architecting and implementing borderless data lakehouse solutions on Google Cloud. It leverages official documentation and standard automation practices to assist users in creating secure and reliable multi-cloud infrastructures.

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metadata
{
  "version": "1.0.0",
  "category": "MultiProductSolutions"
}

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